NDLI: Expression of individual woven yarn of textile fabric by clustering three dimensional CT image using mahalanobis distance

Content Provider	IEEE Xplore Digital Library
Author	Shinohara, T.
Copyright Year	2012
Description	Author affiliation: Department of Computational Systems Biology, Kinki University, Wakayama, 649-6493, Japan (Shinohara, T.)
Abstract	In this paper, a method to express individual woven yarns is proposed for structure analysis of a textile fabric with its three-dimensional (3D) X-ray computed tomography (CT) image. In this method, the voxels of the 3D CT image are segmented into each yarn by using the yarn positional information, which is a sequence of the yarn center points. The positional information is obtained by tracing the yarn. The yarn is traced by sequentially estimating its center and orientation. The center and orientation are estimated by correlating the voxel values with a solid model of the yarn. The voxels of the 3D CT image are segmented into each yarn based on a clustering method using the Mahalanobis distance between the voxel and the obtained yarn positional information. Each individual yarn is expressed by the volume-rendering technique with the segmented voxels. The effectiveness of the proposed yarn expression method is confirmed by experimentally applying this method to the 3D image of a plain knitted fabric.
Starting Page	1505
Ending Page	1510
File Size	1966999
Page Count	6
File Format	PDF
ISBN	9781467324199
ISSN	1553572X
e-ISBN	9781467324212
e-ISBN	9781467324205
DOI	10.1109/IECON.2012.6388519
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Weaving Facsimile Computed tomography Yarn Fabrics
Content Type	Text
Resource Type	Article

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